Search Results for author: Siyuan Chen

Found 31 papers, 11 papers with code

Reinforcement Learning Constrained Beam Search for Parameter Optimization of Paper Drying Under Flexible Constraints

no code implementations21 Jan 2025 Siyuan Chen, Hanshen Yu, Jamal Yagoobi, Chenhui Shao

Existing approaches to enforcing design constraints in Reinforcement Learning (RL) applications often rely on training-time penalties in the reward function or training/inference-time invalid action masking, but these methods either cannot be modified after training, or are limited in the types of constraints that can be implemented.

Combinatorial Optimization reinforcement-learning +2

SG-Splatting: Accelerating 3D Gaussian Splatting with Spherical Gaussians

no code implementations31 Dec 2024 Yiwen Wang, Siyuan Chen, Ran Yi

We introduce SG-Splatting with Spherical Gaussians based color representation, a novel approach to enhance rendering speed and quality in novel view synthesis.

Computational Efficiency Novel View Synthesis

Heterogeneous Interaction Modeling With Reduced Accumulated Error for Multi-Agent Trajectory Prediction

no code implementations28 Oct 2024 Siyuan Chen, Jiahai Wang

Dynamical complex systems composed of interactive heterogeneous agents are prevalent in the world, including urban traffic systems and social networks.

Trajectory Prediction

Mixed Chain-of-Psychotherapies for Emotional Support Chatbot

no code implementations29 Sep 2024 Siyuan Chen, Cong Ming, Zhiling Zhang, Yanyi Chen, Kenny Q. Zhu, Mengyue Wu

In the realm of mental health support chatbots, it is vital to show empathy and encourage self-exploration to provide tailored solutions.

Chatbot

Orthogonal Finetuning for Direct Preference Optimization

no code implementations23 Sep 2024 Chenxu Yang, Ruipeng Jia, Naibin Gu, Zheng Lin, Siyuan Chen, Chao Pang, Weichong Yin, Yu Sun, Hua Wu, Weiping Wang

Hence, we introduce orthogonal finetuning for DPO via a weight-Rotated Preference Optimization (RoPO) method, which merely conducts rotational and magnitude-stretching updates on the weight parameters to maintain the hyperspherical energy invariant, thereby preserving the knowledge encoded in the angle between neurons.

Diversity

Depression Diagnosis Dialogue Simulation: Self-improving Psychiatrist with Tertiary Memory

no code implementations20 Sep 2024 Kunyao Lan, Bingrui Jin, Zichen Zhu, Siyuan Chen, Shu Zhang, Kenny Q. Zhu, Mengyue Wu

Mental health issues, particularly depressive disorders, present significant challenges in contemporary society, necessitating the development of effective automated diagnostic methods.

Balanced Residual Distillation Learning for 3D Point Cloud Class-Incremental Semantic Segmentation

no code implementations2 Aug 2024 Yuanzhi Su, Siyuan Chen, Yuan-Gen Wang

For the performance breakthrough of CIL, it is essential yet challenging to effectively refine past knowledge from the base model and balance it with new learning.

class-incremental learning Class-Incremental Semantic Segmentation +2

Practical offloading for fine-tuning LLM on commodity GPU via learned sparse projectors

no code implementations14 Jun 2024 Siyuan Chen, Zhuofeng Wang, Zelong Guan, Yudong Liu, Phillip B. Gibbons

However, this approach is hampered by the limited bandwidth of commodity hardware, which constrains communication between the CPU and GPU, and by slower matrix multiplications on the CPU.

HOPE: A Reinforcement Learning-based Hybrid Policy Path Planner for Diverse Parking Scenarios

2 code implementations31 May 2024 Mingyang Jiang, Yueyuan Li, Songan Zhang, Siyuan Chen, Chunxiang Wang, Ming Yang

This novel solution integrates a reinforcement learning agent with Reeds-Shepp curves, enabling effective planning across diverse scenarios.

Autonomous Driving reinforcement-learning +1

A Hierarchical Framework with Spatio-Temporal Consistency Learning for Emergence Detection in Complex Adaptive Systems

no code implementations18 Jan 2024 Siyuan Chen, Xin Du, Jiahai Wang

Agents' and the system's representations are learned to preserve the spatio-temporal consistency by minimizing the spatial and temporal dissimilarities in a self-supervised manner in the latent space.

Plasticine3D: 3D Non-Rigid Editing with Text Guidance by Multi-View Embedding Optimization

no code implementations15 Dec 2023 Yige Chen, Teng Hu, Yizhe Tang, Siyuan Chen, Ang Chen, Ran Yi

With the help of Score Distillation Sampling (SDS) and the rapid development of neural 3D representations, some methods have been proposed to perform 3D editing such as adding additional geometries, or overwriting textures.

3D Generation Text to 3D

PsyEval: A Suite of Mental Health Related Tasks for Evaluating Large Language Models

1 code implementation15 Nov 2023 Haoan Jin, Siyuan Chen, Dilawaier Dilixiati, Yewei Jiang, Mengyue Wu, Kenny Q. Zhu

This comprehensive framework is designed to thoroughly assess the unique challenges and intricacies of mental health-related tasks, making PsyEval a highly specialized and valuable tool for evaluating LLM performance in this domain.

Language Modelling Large Language Model +1

Automated Bioinformatics Analysis via AutoBA

1 code implementation6 Sep 2023 Juexiao Zhou, Bin Zhang, Xiuying Chen, Haoyang Li, Xiaopeng Xu, Siyuan Chen, Xin Gao

With the fast-growing and evolving omics data, the demand for streamlined and adaptable tools to handle the analysis continues to grow.

AI Agent Language Modeling +1

Compressing Vision Transformers for Low-Resource Visual Learning

1 code implementation5 Sep 2023 Eric Youn, Sai Mitheran J, Sanjana Prabhu, Siyuan Chen

In our work, we aim to take a step toward bringing vision transformers to the edge by utilizing popular model compression techniques such as distillation, pruning, and quantization.

Autonomous Navigation Image Classification +5

DifFSS: Diffusion Model for Few-Shot Semantic Segmentation

1 code implementation3 Jul 2023 Weimin Tan, Siyuan Chen, Bo Yan

Although various few-shot semantic segmentation (FSS) models with different network structures have been proposed, performance improvement has reached a bottleneck.

Few-Shot Semantic Segmentation Image Generation +3

LLM-empowered Chatbots for Psychiatrist and Patient Simulation: Application and Evaluation

no code implementations23 May 2023 Siyuan Chen, Mengyue Wu, Kenny Q. Zhu, Kunyao Lan, Zhiling Zhang, Lyuchun Cui

Empowering chatbots in the field of mental health is receiving increasing amount of attention, while there still lacks exploration in developing and evaluating chatbots in psychiatric outpatient scenarios.

Chatbot

Mobile-Env: Building Qualified Evaluation Benchmarks for LLM-GUI Interaction

2 code implementations14 May 2023 Danyang Zhang, Zhennan Shen, Rui Xie, Situo Zhang, Tianbao Xie, Zihan Zhao, Siyuan Chen, Lu Chen, Hongshen Xu, Ruisheng Cao, Kai Yu

The Graphical User Interface (GUI) is pivotal for human interaction with the digital world, enabling efficient device control and the completion of complex tasks.

Language Modelling

Benchmarks for Industrial Inspection Based on Structured Light

no code implementations2 Jul 2022 Yuping Ye, Siyuan Chen, Zhan Song

In this paper, we propose benchmarks that can evaluate the structured light method's performance.

Symptom Identification for Interpretable Detection of Multiple Mental Disorders

no code implementations23 May 2022 Zhiling Zhang, Siyuan Chen, Mengyue Wu, Kenny Q. Zhu

Mental disease detection (MDD) from social media has suffered from poor generalizability and interpretability, due to lack of symptom modeling.

Diversity

Psychiatric Scale Guided Risky Post Screening for Early Detection of Depression

1 code implementation19 May 2022 Zhiling Zhang, Siyuan Chen, Mengyue Wu, Kenny Q. Zhu

Depression is a prominent health challenge to the world, and early risk detection (ERD) of depression from online posts can be a promising technique for combating the threat.

Depression Detection

ProNet DB: A proteome-wise database for protein surface property representations and RNA-binding profiles

no code implementations16 May 2022 Junkang Wei, Jin Xiao, Siyuan Chen, Licheng Zong, Xin Gao, Yu Li

The rapid growth in the number of experimental and predicted protein structures and more complicated protein structures challenge users in computational biology for utilizing the structural information and protein surface property representation.

Drug Discovery

Graph Neural Networks with Dynamic and Static Representations for Social Recommendation

1 code implementation26 Jan 2022 Junfa Lin, Siyuan Chen, Jiahai Wang

GNN-DSR models the short-term dynamic and long-term static interactional representations of the user's interest and the item's attraction, respectively.

Recommendation Systems

Protein-RNA interaction prediction with deep learning: Structure matters

no code implementations26 Jul 2021 Junkang Wei, Siyuan Chen, Licheng Zong, Xin Gao, Yu Li

Protein-RNA interactions are of vital importance to a variety of cellular activities.

Deep Learning

Neural Relational Inference with Efficient Message Passing Mechanisms

1 code implementation23 Jan 2021 Siyuan Chen, Jiahai Wang, Guoqing Li

Additionally, the structural prior knowledge, symmetry as a special case, is introduced for better relation prediction in more complex systems.

Relation Relation Prediction

A Registration-aided Domain Adaptation Network for 3D Point Cloud Based Place Recognition

1 code implementation9 Dec 2020 Zhijian Qiao, Hanjiang Hu, Weiang Shi, Siyuan Chen, Zhe Liu, Hesheng Wang

In the field of large-scale SLAM for autonomous driving and mobile robotics, 3D point cloud based place recognition has aroused significant research interest due to its robustness to changing environments with drastic daytime and weather variance.

3D Place Recognition Autonomous Driving +2

A Novel Framework with Information Fusion and Neighborhood Enhancement for User Identity Linkage

1 code implementation16 Mar 2020 Siyuan Chen, Jiahai Wang, Xin Du, Yanqing Hu

The information fusion component adopts a group of encoders and decoders to fuse heterogeneous information and generate discriminative node embeddings for preliminary matching.

Graph Neural Network

Agent Embeddings: A Latent Representation for Pole-Balancing Networks

no code implementations12 Nov 2018 Oscar Chang, Robert Kwiatkowski, Siyuan Chen, Hod Lipson

Linearly interpolating between the latent embeddings for a good agent and a bad agent yields an agent embedding that generates a network with intermediate performance, where the performance can be tuned according to the coefficient of interpolation.

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